Track 1: The AI Landscape. Top 1% AI leaders don't pick one tool and stay there. You'll learn how ChatGPT, Gemini, Copilot, and Claude each think differently, and how to use "cognitive diversification", deliberately running a second model to fact-check outputs, challenge assumptions, and expose blind spots.
Track 2: Advanced Models. Every platform now offers a more capable tier: Thinking, Pro, Opus. These aren't faster; they're more thorough. You'll learn what they're built for, when to use them, and how to treat them as a decision-support engine for your highest-stakes work.
Track 1: CODO SuperPrompting. The single biggest upgrade to how you work with AI. You'll learn to prompt like you delegate: giving AI the right character, objective, guardrails, and output spec so the first draft is already close to usable. Apply it directly to a real task from your own work.
Track 2: Advanced Prompt Engineering. Four techniques for getting higher-quality output on complex work: iterative refinement, asking for options across a range, Chain of Thought (prescribe the path, not just the destination), and few-shot prompting (show AI what good looks like instead of explaining it).
Most leaders still prompt AI like a vending machine: type text, get output, clean it up. Multimodal changes that. You stop describing your work and start showing it.
Track 1: Prompting with Artifacts. Drop in a screenshot, PDF, slide deck, or photo of a whiteboard instead of spending paragraphs explaining context. You'll learn the Observe/Interpret/Transform/Verify framework for working from the same source material as AI, eliminating what we call the "translation tax."
Track 2: Voice AI. Two modes worth mastering: Voice as a thinking partner, where you talk through a problem in real time, interrupt, redirect, and keep moving without losing momentum; and AI Dictation, where you speak loosely and AI infers intent to produce clean, structured output without manual editing.
Track 3: Screen and Video Sharing. The shift from "ask and wait" to live collaboration. You'll use Gemini Live and ChatGPT Video to share your screen or camera feed and get real-time feedback on a deck, dashboard, or document without typing a word of context. AI sees what you see and responds like a colleague on a video call.
Most leaders optimize for getting faster at work that shouldn't exist in its current form. This lesson delivers three mindset shifts and two frameworks to act on them.
GED-RT identifies your highest-leverage AI candidates; O.V.E.R. breaks any workflow into atomic steps so you can assign AI a narrow job with a defined output and an explicit review gate.
In this lesson, we get rid of having to re-explain your role, context, and constraints to AI every single time.
Reusable assistants convert your best CODO prompts into standing instructions inside Custom GPTs, Gemini Gems, Copilot Agents, or Claude Projects, so your AI assistant is pre-briefed every time you open it.
In our first official live session, we'll work together along a group of global peers to build your first Personal Board of Directors Assistant (via a GPT, Gem, or Project), moving from one-off chats to a reusable assistant that understands your "Do’s and Don’ts" and your specific output requirements.
We will end with Q&A for Week 1 lessons and instructions for Week 2.
The session runs twice: 10 AM CET / 5 PM SGT and 10 AM ET / 4 PM CET.
This and all live sessions are recorded.